On the occasion of SMAU Milano 2018, Gabriel Cismondi, COO at iGenius, talks about Artificial Intelligence and how it's changing the relationship between people and data.
5. Once upon a Data
The 3 Big Data challenges
From Big Data to AI
Big data and AI applied today
New challenges in a data-driven world
Simplifying the relationship between humans and data
7. 1990
Peter J. Denning
“…rate and volume of information flow
overwhelm our networks, storage devices
and retrieval systems, as well as the
human capacity for comprehension… it is
possible to build machines that can
recognize or predict patterns in data
without understanding the meaning of the
patterns. Such machines may eventually
be fast enough to deal with large data
streams in real time..."
8. 1997
Peter J. Denning
Michael Lesk,
“How much information there is
in the world?”
2000 Peter Lyman and Hal R. Varian,
“How much information?”
9. 2005
Peter J. Denning
Roger Magoulas from O’Reilly
media, refers to Big Data as a
wide range of large data sets
almost impossible to manage and
process using traditional data
management tools not only due to
their size, but also their
complexity
2005 Yahoo creates Hadoop based on
Google’s MapReduce
10. 2008
Peter J. Denning
“Google reaches the milestone of
processing over 20 petabytes of
data per day through an average
of 100,000 MapReduce jobs spread
across its massive computing
clusters.”
2010
Eric Schmidt - Techonomy
conference
“…there were 5 exabytes of
information created by the
entire world between the dawn of
civilization and 2003. Now that
same amount is created every two
days."
15. In 1937 Franklin D. Roosevelt’s administration created
the first data project. With the Social Security Act, the
government had to keep track of contribution from 26
million Americans and more than 3 million employers.
IBM got the contract to develop punch card-reading
machine for this massive bookkeeping project.
16. In 1965 the US Government built the first data centre to
store over 742 million tax returns and 175 million sets
of fingerprints by transferring al those records onto
magnetic computer tape that had to be stored in a
single location. The project was later dropped out of
fear for ‘Big Brother’, but it is generally accepted
that it was the beginning of the electronic data
storage era.
18. In 1943 the first data-processing was developed by the
British to decipher Nazi codes during World War II.
This device, named Colossus, searched for patterns in
intercepted messages at a rate of 5.000 characters per
second. Thereby reducing the task from weeks to merely
hours.
19. We are developing a super-computer that will do more
calculating in a second than a person with a hand-held
calculator can do in 30,000 years.
1996, Clinton's Speech - New York Times Archives
22. Algorithmic methods are used on huge amount of data to
produce desired results and to find trends, patterns and
predictions. Complex analytical tasks, faster than
human imagination, are done on Big Data.
23. The next frontier for innovation, competition, and
productivity, states that in 2018 the USA alone will face
a shortage of 140,000 – 190,000 data scientist as well as
1.5 million data managers.
2011, the McKinsey report on Big Data
33. Enterprises today have many types of data, the resources
to invest on data processing and, most of all, a big
necessity of shifting to a more data-driven culture, but
data shows that they still struggle
40. That’s why we started iGenius,
an AI company on a mission to
simplify the relationship betwee
people and data.
That’s why we started
iGenius,
an AI company on a mission
to simplify the relationship
between people and data.
42. We leverage AI to create a seamless user experience, based
on the idea of transparency.
The technology should be transparent toward the customer
providing a seamless technology-human interaction.
43. crystal is the first virtual advisor
for business intelligence
44.
45. Turn in data into insights
Be advised with proactivity
Ask, explore, share
46. This is the greatest
title ever written
Followed by this oh-so-interesting subtitle
crystal connects to
the data sources and
listens proactively to
important data changes
and updates.
Connects to customer’
enterprise data sources
Learn from customer’
data in real time/streaming
Provide customer’
with actionable advice
crystal’ virtual
advisor access the
connected data and
process it right away
in real time/streaming.
crystal makes data
accessible via voice
and chat, smart real
time dashboards and
unlimited reports.
1 2 3
Fast data retrieval Deep Learning AI Virtual Advisor
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Data
47. Data analysis done in seconds
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Increase data driven
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Accelerate/replace complex
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48. This is the greatest
title ever written
Followed by this oh-so-interesting subtitle
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